OCR文字识别-开源方案本地部署

1. 开源OCR识别程序：

https://github.com/DayBreak-u/chineseocr_lite
https://github.com/alisen39/TrWebOCR

2. 本地测试，选择了TrWebOCR：

https://github.com/alisen39/TrWebOCR

3. 部署步骤：

--- 确保本地基础环境python3已经安装完成
[root@VM-24-11-centos mnt]# python3
Python 3.6.8 (default, Nov 16 2020, 16:55:22)
[GCC 4.8.5 20150623 (Red Hat 4.8.5-44)] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> exit()
[root@VM-24-11-centos mnt]#

--- docker方式部署：
--- 拉取镜像：docker pull mmmz/trwebocr:latest
--- 开放端口，重启网络
systemctl restart network && systemctl restart docker
--- 确保IPV4允许访问：sysctl net.ipv4.ip_forward
docker run -itd --rm -p 8089:8089 --name trwebocr mmmz/trwebocr:latest

浏览器-访问测试：IP+端口：

命令行调用接口服务：

root@b3aaf9b09687:/# python3
Python 3.7.8 (default, Jun 30 2020, 18:36:05)
[GCC 8.3.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import requests
>>> import base64
>>> def img_to_base64(img_path):
... with open(img_path, 'rb')as read:
... b64 = base64.b64encode(read.read())
... return b64
>>> url = 'http://101.99.11.11:8089/api/tr-run/'
>>>
>>> img_b64 = img_to_base64('/mnt/no1.png')
>>> img_b64
b'iVBORw0KGgoAAAANSUhEUgAAANwAAAASCAIAAAC/2icSAAAAt0lEQVR42u2Y0Q6AIAgA+f9f7Sd6aG2mhqQxKe+ejNyacENTNoBgCCkApARASkBKgHeklJP8dS1SzvQILvJ1qEuZpikbl2ktxx7BRb4Oz6Q8Bkr67OnunjlLysG1I6Vjp5woZfPRu1Mi5fekvMu7fjLTC9OMRJAyW6O++3OmnCZlWqrfS0mnDCqlpVp2q/p2c6RESmvE3gstRQolJX/fQe8p5YpyWhqfyT3l6lICICUAUgJSAnSzA9yWKoIsN4K/AAAAAElFTkSuQmCC'
>>> res = requests.post(url=url, data={'img': img_b64})
>>> res
<Response [200]>
>>>
>>> print(res)
<Response [200]>
>>> print(res.json())
{'code': 200, 'msg': '成功', 'data': {'raw_out': [[[62.49999237060547, 9.499998092651367, 130.99998474121094, 17.714282989501953, -0.0], '012920210000013088', 0.9998447299003601]], 'speed_time': 0.07, 'img_detected': 'data:image/jpeg;base64,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'}}
>>>
>>>
>>> img_b64 = img_to_base64('/mnt/wz1.png')
>>> res = requests.post(url=url, data={'img': img_b64})
>>> print(res.json())
{'code': 200, 'msg': '成功', 'data': {'raw_out': [[[54.0, 9.5, 112.0, 17.71428680419922, -0.0], '测试文字1', 0.952775502204895]], 'speed_time': 0.06, 'img_detected': 'data:image/jpeg;base64,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'}}
>>>
>>> img_b64 = img_to_base64('/mnt/wz2.png')
>>> res = requests.post(url=url, data={'img': img_b64})
>>> print(res.json())
{'code': 200, 'msg': '成功', 'data': {'raw_out': [[[78.0, 9.5, 160.0, 17.71428680419922, 0.0], '测试文字2', 0.9663978261607034]], 'speed_time': 0.08, 'img_detected': 'data:image/jpeg;base64,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'}}

 其他方案：

百度：https://gitee.com/paddlepaddle/PaddleOCR/tree/release/2.6

PDF识别：https://blog.csdn.net/pinkuang3943/article/details/119610920

https://aistudio.baidu.com/aistudio/projectdetail/3552051

https://aistudio.baidu.com/aistudio/projectdetail/3492909?channelType=0&channel=0